End of training

README.md

@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the custom dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0000
-- Wer: 0.0
+- Loss: 0.9237
+- Wer: 41.5842
 
 ## Model description
 
@@ -47,23 +47,19 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 5000
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer |
-|:-------------:|:------:|:----:|:---------------:|:---:|
-| 0.0           | 1000.0 | 1000 | 0.0000          | 0.0 |
-| 0.0           | 2000.0 | 2000 | 0.0000          | 0.0 |
-| 0.0           | 3000.0 | 3000 | 0.0000          | 0.0 |
-| 0.0           | 4000.0 | 4000 | 0.0000          | 0.0 |
-| 0.0           | 5000.0 | 5000 | 0.0000          | 0.0 |
+| Training Loss | Epoch    | Step | Validation Loss | Wer     |
+|:-------------:|:--------:|:----:|:---------------:|:-------:|
+| 0.0           | 333.3333 | 1000 | 0.9237          | 41.5842 |
 
 
 ### Framework versions
 
-- Transformers 4.45.1
+- Transformers 4.45.2
 - Pytorch 2.4.1+cu121
 - Datasets 3.0.1
 - Tokenizers 0.20.0

generation_config.json

@@ -250,5 +250,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.45.1"
+  "transformers_version": "4.45.2"
 }